AI agent training is the process of teaching voice agents how to understand requests, respond appropriately, and handle conversations effectively. Training involves providing examples, refining prompts, and iterating based on real conversation outcomes.
How does AI agent training work?
Modern AI voice agents are built on large language models that already understand language. Training focuses on specialization: teaching the agent your specific terminology, processes, and desired behaviors. This happens through prompt engineering, example conversations, and feedback loops that identify where the agent succeeds or fails.
Why does AI agent training matter?
An untrained agent gives generic responses that frustrate callers. A well-trained agent understands industry jargon, follows company procedures, and handles edge cases gracefully. Training directly impacts resolution rates, customer satisfaction, and the range of tasks the agent can handle independently.
AI agent training in practice
A dental office trains their AI agent by providing common patient questions, preferred responses for scheduling scenarios, and examples of how to handle insurance inquiries. After deployment, they review transcripts weekly and refine the agent’s instructions based on calls that required human intervention.